Shrutlekhan-Advance is a state-of-the-art, general-purpose continuous automatic speech recognition (ASR) system designed for Indian languages. It accurately transcribes spoken words into text, making it an invaluable tool for a wide range of applications. The system employs an end-to-end AI-driven approach, mapping audio inputs directly to text outputs using deep learning algorithms to ensure precise and reliable transcription.

• Voice-Driven Content Creation: Individuals efficiently create content such as emails, blogs, books, and other written materials by voice dictation, enhancing productivity and accessibility in writing tasks.
• Judicial and Legal Documentation: Transcribe courtroom proceedings, judgments, and daily orders.
• Media and Journalism: Convert interviews, news coverage, and panel discussions into publishable text.
• Education and Research: Record and transcribe lectures, seminars, and oral histories.
• Corporate Communication: Document business meetings, voice memos, and client calls.
• Government and Administrative Workflows: Enable digital transformation with accurate voice-to-text transcription.

• Real-Time Online Transcription: High-speed, high-accuracy transcription of live speech.
• Seamless Integration: Easy API-based integration with existing systems and workflows.
• Instant and Precise Text Creation: Automatically generate and structure text from audio inputs.
• Voice-Based Editing & Formatting: Control text formatting and editing using voice commands.
• Audio File Transcription Support: Upload and transcribe pre-recorded audio content with ease.

• Supported Languages: Indian languages (Hindi, Marathi, Kannada, Tamil, Indian English, Gujarati) 
• Model Architecture: End-to-End Conformer (Encoder-Decoder with Attention/CTC) Architecture
• Input Types: Live Microphone Audio, Pre-recorded Audio Files (WAV, MP3, FLAC, etc.)
• Output Formats: Editable Transcripts
• Deployment Modes: Web-based Interface, REST APIs, On-Premise Option

Mahesh Bhargava

Scientist E

Multilingual Technologies Group,

C-DAC Pune.

Phone: 02025503305

Email: mbhargava[at]cdac[dot]in